Mathematical tools for understanding viral infections within-host and between-host
Monday, June 14 at 09:30am (PDT)Monday, June 14 at 05:30pm (BST)Tuesday, June 15 01:30am (KST)
Hana Dobrovolny (Texas Christian University, United States), Gilberto Gonzalez-Parra (New Mexico Tech, United States)
The SARS-CoV-2 pandemic has made it clear that mathematical modeling plays an important role in rapidly advancing scientific knowledge in emergency situations. Population scale models have provided valuable information for public health authorities at the local and national levels, allowing them to assess the effect of different non-pharmaceutical interventions. At the within-host level, models of viral dynamics have helped to assess the possibility of re-purposing antivirals to treat the emerging epidemic. In order to be prepared for the next pandemic, we need to continue to refine mathematical tools for analyzing viral dynamics. This mini-symposium includes presentations on the development of mathematical modeling techniques for viral infections, covering both the within-host dynamics and population-level dynamics.